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Add single-dataset loading example

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  1. README.md +26 -14
README.md CHANGED
@@ -52,32 +52,44 @@ The underlying recommendation datasets are public datasets from their original s
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  Please consult the original dataset sources and their terms before using these files.
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- ## Loading
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- The split files can be read as JSON Lines. For example:
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  ```python
 
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  import json
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  import numpy as np
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- with open("beauty/beauty.train.jsonl") as f:
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- first = json.loads(next(f))
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- emb = np.load("beauty/Beauty.emb-llama.npy")
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- ```
 
 
 
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- You can download files with `huggingface_hub`:
 
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- ```python
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- from huggingface_hub import hf_hub_download
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- path = hf_hub_download(
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- repo_id="junchenfu/diger-processed-data",
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- repo_type="dataset",
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- filename="beauty/Beauty.emb-llama.npy",
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- )
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  ```
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  ## Citation
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  If you use these processed artifacts, please cite the DIGER paper and the original dataset sources.
 
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  Please consult the original dataset sources and their terms before using these files.
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+ ## Loading One Dataset
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+ The three datasets are stored in separate directories. To use only one dataset, download only files from that directory. For example, this loads **Beauty** only and does not download Instruments or Yelp:
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  ```python
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+ from huggingface_hub import hf_hub_download
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  import json
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  import numpy as np
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+ repo_id = "junchenfu/diger-processed-data"
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+ dataset = "beauty"
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+ train_path = hf_hub_download(repo_id=repo_id, repo_type="dataset", filename=f"{dataset}/{dataset}.train.jsonl")
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+ valid_path = hf_hub_download(repo_id=repo_id, repo_type="dataset", filename=f"{dataset}/{dataset}.valid.jsonl")
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+ test_path = hf_hub_download(repo_id=repo_id, repo_type="dataset", filename=f"{dataset}/{dataset}.test.jsonl")
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+ map_path = hf_hub_download(repo_id=repo_id, repo_type="dataset", filename=f"{dataset}/{dataset}.emb_map.json")
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+ emb_path = hf_hub_download(repo_id=repo_id, repo_type="dataset", filename="beauty/Beauty.emb-llama.npy")
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+ with open(train_path, encoding="utf-8") as f:
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+ first_train = json.loads(next(f))
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+ with open(map_path, encoding="utf-8") as f:
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+ emb_map = json.load(f)
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+ emb = np.load(emb_path, mmap_mode="r")
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+
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+ print(first_train)
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+ print(len(emb_map))
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+ print(emb.shape, emb.dtype)
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  ```
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+ For the other datasets, use the corresponding directory and embedding filename:
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+
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+ - Instruments: `instruments/Instruments.emb-llama.npy`
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+ - Yelp: `yelp/Yelp.emb-llama.npy`
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+
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+ Use `hf_hub_download(filename="...")` for single-dataset loading. Avoid `snapshot_download` unless you intentionally want to download the full repository.
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+
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  ## Citation
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  If you use these processed artifacts, please cite the DIGER paper and the original dataset sources.